FBA Amazon Fulfilled Inventory Report

FBA Amazon Fulfilled Inventory Report can be used to request and retrieve tab-delimited flat file report where content is updated in near real-time. This report provides a snapshot of your inventory in Amazon’s fulfillment centers at the time the report is processed. For FBA sellers only.

Read more about this end-point here

Configuring the Credentials

Select the account credentials which has access to relevant Amazon Seller Central data from the dropdown menu & Click Next

Credentials not listed in dropdown ?

Click on + Add New for adding new credentials

Data Pipelines Details

Data Pipeline

Select FBA Amazon Fulfilled Inventory Report from the dropdown

amazonsellercentral fba amazon fulfilled inventory report list
Dimensions and Metrics

Select the dimensions and metrics you would like to fetch from the Amazon Seller Performance platform. Once Pipeline configuration is completed, you may click on View Schema to see the schema of the table being created.

Each of the selected dimension / metric will create one or more columns in the database table in the destination warehouse.

Setting Parameters

Parameter Description Values

Insert Mode

Required

Specifies the manner in which data will get updated in the data warehouse : APPEND will insert all fetched data at the end, REPLACE will drop the existing table and recreate a fresh one on each run.

{Append, Replace}

Default Value: REPLACE
amazonsellercentral fba amazon fulfilled inventory report config

Datapipeline Scheduling

Scheduling specifies the frequency with which data will get updated in the data warehouse. You can choose between Manual Run, Normal Scheduling or Advance Scheduling.

Manual Run

If scheduling is not required, you can use the toggle to run the pipeline manually.

Normal Scheduling

Use the dropdown to select an interval-based hourly, monthly, weekly, or daily frequency.

Advance Scheduling

Set schedules fine-grained at the level of Months, Days, Hours, and Minutes.

Detailed explanation on scheduling of pipelines can be found here

Dataset & Name

Dataset Name

Key in the Dataset Name(also serves as the table name in your data warehouse).Keep in mind, that the name should be unique across the account and the data source. Special characters (except underscore _) and blank spaces are not allowed. It is best to follow a consistent naming scheme for future search to locate the tables.

Dataset Description

Enter a short description (optional) describing the dataset being fetched by this particular pipeline.

Notifications

Choose the events for which you’d like to be notified: whether "ERROR ONLY" or "ERROR AND SUCCESS".

Once you have finished click on Finish to save it. Read more about naming and saving your pipelines including the option to save them as templates here

Still have Questions?

We’ll be happy to help you with any questions you might have! Send us an email at info@datachannel.co.

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